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全球雲端基礎設施AIOps市場：預測至2032年－按組件、部署方式、解決方案類型、應用、最終用戶和區域進行分析

AIOps for Cloud Infrastructure Market Forecasts to 2032 - Global Analysis By Component, Deployment Mode, Solution Type, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Strategystics MRC 的一項研究，預計到 2025 年，全球雲端基礎設施 AIOps 市場規模將達到 18.3 億美元，到 2032 年將達到 75.5 億美元，預測期內複合年成長率為 22.4%。

面向雲端基礎設施的AIOps是將人工智慧（AI）和機器學習應用於雲端環境中的IT運維自動化和最佳化。透過分析海量的遙測數據、日誌和效能數據，AIOps能夠實現預測性維護、異常檢測和智慧資源分配。這可以提高運維效率、減少停機時間並支援動態擴展。 AIOps平台與雲端原生工具整合，即使在複雜的多重雲端和混合環境中，也能提供即時洞察、簡化事件回應並實現彈性且經濟高效的基礎設施管理。

雲端運算的複雜性與對預測分析日益成長的需求

自動化異常檢測、跨分散式系統的事件關聯以及資源需求預測等功能正在推動AIOps平台的普及。對預測分析的日益重視使IT團隊能夠預見故障並主動最佳化工作負載。對即時洞察和快速事件解決的需求進一步加速了智慧自動化的進程。各組織正在利用AIOps來提高營運效率、減少人工干預並提升服務可用性。

舊有系統和資料孤島

舊有系統通常缺乏無縫資料擷取和分析所需的互通性，這限制了自動化的範圍。此外，分散在各個部門和雲端環境中的營運資料孤島會阻礙統一的可見性，並降低人工智慧驅動的洞察的有效性。而為了彌合相容性差距，還需要進行大量的重新配置並聘請專業人員，這進一步加劇了這些挑戰。最終可能導致部署週期延長和投資回報延遲。

自主維修和封閉回路型自動化

閉合迴路自動化實現了監控工具和編配引擎之間的持續回饋，從而能夠根據即時情況進行動態調整。這種能力在大規模環境中尤其重要，因為在這些環境中手動故障排除並不現實。供應商正致力於開發人工智慧模型，這些模型不僅能夠識別根本原因，還能自動觸發修復工作流程，例如重新啟動服務或重新分配資源。這些進步正在為建立一個彈性且適應性強的雲端生態系奠定基礎。

不斷發展的AI管治和雲端合規法律

各地區的新法規要求演算法決策過程透明化，並限制資料處理行為。違規可能導致法律處罰和聲譽損害，尤其對於在多個司法管轄區營運的跨國公司而言更是如此。此外，管治架構的頻繁變更可能需要持續更新AIOps配置和審核機制。這種監管的不穩定性對供應商和用戶都構成策略風險，並可能減緩創新和應用。

新冠疫情的影響：

疫情加速了各產業的數位轉型，推動了雲端運算和遠端基礎設施管理的普及。 AIOps 成為維護分散式環境運作和效能的關鍵基礎。然而，由於 IT 人員短缺和預算重新分配，初期實施計劃一度停滯。隨著遠距辦公成為常態，對智慧監控和自動化事件回應的需求顯著成長。企業優先考慮那些只需極少人工干預即可運作的工具，這進一步提升了 AIOps 的價值提案。

預計在預測期內，事件關聯和根本原因分析細分市場將佔據最大的市場佔有率。

事件關聯和根本原因分析領域預計將在預測期內佔據最大的市場佔有率，這主要得益於其能夠整合大量遙測資料並識別複雜環境中的異常情況。企業正在利用這些功能來縮短平均修復時間 (MTTR) 並防止級聯故障。先進的關聯引擎正與可觀測性平台整合，以提供上下文洞察和可操作的診斷。該領域的成熟度和跨行業適用性鞏固了主導地位。

預計在預測期內，效能監控和最佳化細分市場將呈現最高的複合年成長率。

在預測期內，效能監控和最佳化領域預計將實現最高成長率，這主要得益於企業對雲端資源進行精細化調優、最大限度降低延遲以及確保一致用戶體驗的需求日益成長。該領域的AIOps工具利用機器學習技術來偵測效能瓶頸並建議配置變更。容器化應用和微服務的興起進一步推動了對精細化、即時效能洞察的需求。隨著企業尋求將基礎設施效率與業務成果相結合，該領域預計將快速擴張。

佔比最大的地區：

預計亞太地區將在預測期內佔據最大的市場佔有率，這主要得益於中國、印度和新加坡等國家對智慧基礎設施和人工智慧驅動的IT營運的大力投資。該地區蓬勃發展的Start-Ups生態系統和政府主導的雲端現代化項目正在推動對可擴展AIOps解決方案的需求。此外，超大規模資料中心和託管服務供應商的激增也為市場成長創造了沃土。亞太地區的企業越來越重視自動化，以管理複雜且大量的工作負載。

預計年複合成長率最高的地區：

亞太地區預計將在預測期內實現最高的複合年成長率，這主要得益於技術的快速發展和企業雲採用率的不斷提高。對人工智慧創新的重視，以及不斷成長的IT基礎設施投資，正在加速AIOps的普及。本地供應商正在推出經濟高效、可客製化的平台，以滿足區域需求，從而提高服務的可及性。此外，企業對營運彈性和網路安全意識的不斷增強，也促使其採用智慧監控工具。這種充滿活力的環境使亞太地區成為全球AIOps市場的重要成長引擎。

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目錄

第1章執行摘要

第2章 引言

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 分析方法
  • 分析材料
    • 原始研究資料
    • 二手研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 介紹
  • 促進要素
  • 抑制因素
  • 市場機遇
  • 威脅
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 公司間的競爭

5. 全球雲端基礎設施 AIOps 市場（按組件分類）

  • 介紹
  • 監測和可觀測性
  • 事件關聯和根本原因分析
  • 異常檢測引擎
  • 自動化和編配模組
  • 知識庫與運作手冊庫
  • 安全與合規模組
  • 其他部件

6. 全球雲端基礎設施 AIOps 市場依部署方式分類

  • 介紹
  • 本地部署
  • 私有雲端
  • 公共雲端
  • 混合雲端
  • 邊緣配置

7. 全球雲端基礎設施 AIOps 市場按解決方案類型分類

  • 介紹
  • 平台/套件
  • 獨立解決方案
  • 託管服務
  • 專業服務
  • 附加元件和整合
  • 其他解決方案類型

8. 全球雲端基礎設施 AIOps 市場（按應用分類）

  • 介紹
  • IT營運自動化
  • 效能監控與最佳化
  • 安全事件偵測與回應
  • 成本最佳化與雲端管治
  • 自動化 DevOps/CI-CD 管線
  • 客戶體驗監測
  • 其他用途

9. 全球雲端基礎設施 AIOps 市場（依最終用戶分類）

  • 介紹
  • IT和通訊服務供應商
  • FSM/IT公司
  • 中小企業
  • 雲端服務供應商/MSP
  • 政府/公共部門
  • 金融服務
  • 醫學與生命科​​學
  • 零售與電子商務
  • 其他最終用戶

10. 全球雲端基礎設施 AIOps 市場（按地區分類）

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併（M&A）
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章：企業概況

  • Splunk
  • Dynatrace
  • IBM（Instana）
  • SolarWinds
  • Moogsoft
  • PagerDuty
  • Datadog
  • New Relic
  • Elastic（ELK Stack）
  • BMC Software
  • ServiceNow
  • Microsoft
  • Google
  • Amazon Web Services
  • AppDynamics
  • ScienceLogic
  • CA Technologies
  • VMware
Product Code: SMRC32083

According to Stratistics MRC, the Global AIOps for Cloud Infrastructure Market is accounted for $1.83 billion in 2025 and is expected to reach $7.55 billion by 2032 growing at a CAGR of 22.4% during the forecast period. AIOps for cloud infrastructure are the application of artificial intelligence and machine learning to automate and optimize IT operations across cloud environments. By analyzing vast volumes of telemetry, logs, and performance data, AIOps enables predictive maintenance, anomaly detection, and intelligent resource allocation. It enhances operational efficiency, reduces downtime, and supports dynamic scaling. AIOps platforms integrate with cloud-native tools to deliver real-time insights, streamline incident response, and ensure resilient, cost-effective infrastructure management in complex, multi-cloud or hybrid deployments.

Market Dynamics:

Driver:

Rising cloud complexity & demand for predictive analytics

AIOps platforms are gaining traction for their ability to automate anomaly detection, correlate events across distributed systems, and forecast resource needs. The growing emphasis on predictive analytics enables IT teams to anticipate outages and optimize workloads proactively. This shift toward intelligent automation is further accelerated by the need for real-time insights and faster incident resolution. Organizations are leveraging AIOps to streamline operations, reduce manual intervention, and enhance service availability.

Restraint:

Legacy systems and siloed data

Legacy systems often lack the interoperability required for seamless data ingestion and analysis, limiting the scope of automation. Additionally, siloed operational data across departments or cloud environments can obstruct unified visibility, reducing the effectiveness of AI-driven insights. These challenges are compounded by the need for extensive reconfiguration and skilled personnel to bridge compatibility gaps. As a result, deployment timelines may be extended, and ROI delayed.

Opportunity:

Autonomous remediation and closed-loop automation

Closed-loop automation enables continuous feedback between monitoring tools and orchestration engines, allowing for dynamic adjustments based on real-time conditions. This capability is particularly valuable in high-scale environments where manual troubleshooting is impractical. Vendors are investing in AI models that not only identify root causes but also trigger remediation workflows, such as restarting services or reallocating resources. These advancements are paving the way for resilient, adaptive cloud ecosystems.

Threat:

Evolving AI governance and cloud compliance laws

Emerging legislation across regions mandates transparency in algorithmic decision-making and restricts data processing practices. Non-compliance can lead to legal penalties and reputational damage, especially for global enterprises operating across jurisdictions. Moreover, frequent changes in governance frameworks may require continuous updates to AIOps configurations and audit mechanisms. This regulatory volatility poses a strategic risk for vendors and users alike, potentially slowing innovation and adoption.

Covid-19 Impact:

The pandemic accelerated digital transformation across industries, prompting a surge in cloud adoption and remote infrastructure management. AIOps emerged as a critical enabler for maintaining uptime and performance in distributed environments. However, initial disruptions in IT staffing and budget reallocations temporarily stalled implementation projects. As remote work became the norm, demand for intelligent monitoring and automated incident response grew significantly. Organizations prioritized tools that could operate with minimal human oversight, reinforcing the value proposition of AIOps.

The event correlation & root cause analysis segment is expected to be the largest during the forecast period

The event correlation & root cause analysis segment is expected to account for the largest market share during the forecast period propelled by, the segment's ability to synthesize vast volumes of telemetry data and pinpoint anomalies across complex environments. Enterprises rely on these capabilities to reduce mean time to resolution (MTTR) and prevent cascading failures. Advanced correlation engines are being integrated with observability platforms to provide contextual insights and actionable diagnostics. The segment's maturity and widespread applicability across industries contribute to its leading market position.

The performance monitoring & optimization segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the performance monitoring & optimization segment is predicted to witness the highest growth rate, influenced by, the increasing need to fine-tune cloud resources, minimize latency, and ensure consistent user experiences. AIOps tools in this segment leverage machine learning to detect performance bottlenecks and recommend configuration changes. The rise of containerized applications and microservices has further amplified the demand for granular, real-time performance insights. As organizations seek to align infrastructure efficiency with business outcomes, this segment is poised for rapid expansion.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, fuelled by, Countries such as China, India, and Singapore are investing heavily in smart infrastructure and AI-driven IT operations. The region's thriving startup ecosystem and government-backed cloud modernization programs are fueling demand for scalable AIOps solutions. Additionally, the proliferation of hyperscale data centers and managed service providers is creating fertile ground for market growth. Enterprises in APAC are increasingly prioritizing automation to manage complex, high-volume workloads.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by, its rapid technological advancement and expanding enterprise cloud footprint. The region's emphasis on AI innovation, coupled with rising investments in IT infrastructure, is accelerating AIOps adoption. Local vendors are introducing cost-effective, customizable platforms tailored to regional needs, boosting accessibility. Moreover, the growing awareness of operational resilience and cybersecurity is prompting organizations to deploy intelligent monitoring tools. This dynamic landscape positions APAC as a key growth engine for the global AIOps market.

Key players in the market

Some of the key players in AIOps for Cloud Infrastructure Market include Splunk, Dynatrace, IBM (Instana), SolarWinds, Moogsoft, PagerDuty, Datadog, New Relic, Elastic (ELK Stack), BMC Software, ServiceNow, Microsoft, Google, Amazon Web Services, AppDynamics, ScienceLogic, CA Technologies, and VMware.

Key Developments:

In October 2025, Splunk expands its Observability Cloud to AWS Singapore, enhancing real-time insights for APAC enterprises. This move supports hybrid cloud adoption and strengthens Cisco-Splunk's regional footprint.

In October 2025, Dynatrace and ServiceNow announce strategic collaboration, the partnership aims to scale autonomous IT operations using agentic AI and intelligent automation. It combines Dynatrace's root cause analysis with ServiceNow's AIOps workflows.

In October 2025, IBM announces Instana GenAI Observability at TechXchange 2025. Instana now offers unified observability across IBM Turbonomic and Concert, enhancing AI-driven performance. The update supports resilience and spends optimization across complex IT environments.

Components Covered:

  • Monitoring & Observability
  • Event Correlation & Root Cause Analysis
  • Anomaly Detection Engines
  • Automation & Orchestration Modules
  • Knowledge Base & Runbook Libraries
  • Security & Compliance Modules
  • Other Components

Deployment Modes Covered:

  • On-Premises
  • Private Cloud
  • Public Cloud
  • Hybrid Cloud
  • Edge Deployment

Solution Types Covered:

  • Platform / Suite
  • Standalone Solutions
  • Managed Services
  • Professional Services
  • Add-ons & Integrations
  • Other Solution Types

Applications Covered:

  • IT Operations Automation
  • Performance Monitoring & Optimization
  • Security Incident Detection & Response
  • Cost Optimization & Cloud Governance
  • DevOps/CI-CD Pipeline Automation
  • Customer Experience Monitoring
  • Other Applications

End Users Covered:

  • IT & Telecom Service Providers
  • FSM & IT Enterprises
  • SMBs & Mid-market Enterprises
  • Cloud Service Providers / MSPs
  • Government & Public Sector
  • Financial Services
  • Healthcare & Life Sciences
  • Retail & E-commerce
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AIOps for Cloud Infrastructure Market, By Component

  • 5.1 Introduction
  • 5.2 Monitoring & Observability
  • 5.3 Event Correlation & Root Cause Analysis
  • 5.4 Anomaly Detection Engines
  • 5.5 Automation & Orchestration Modules
  • 5.6 Knowledge Base & Runbook Libraries
  • 5.7 Security & Compliance Modules
  • 5.8 Other Components

6 Global AIOps for Cloud Infrastructure Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 On-Premises
  • 6.3 Private Cloud
  • 6.4 Public Cloud
  • 6.5 Hybrid Cloud
  • 6.6 Edge Deployment

7 Global AIOps for Cloud Infrastructure Market, By Solution Type

  • 7.1 Introduction
  • 7.2 Platform / Suite
  • 7.3 Standalone Solutions
  • 7.4 Managed Services
  • 7.5 Professional Services
  • 7.6 Add-ons & Integrations
  • 7.7 Other Solution Types

8 Global AIOps for Cloud Infrastructure Market, By Application

  • 8.1 Introduction
  • 8.2 IT Operations Automation
  • 8.3 Performance Monitoring & Optimization
  • 8.4 Security Incident Detection & Response
  • 8.5 Cost Optimization & Cloud Governance
  • 8.6 DevOps/CI-CD Pipeline Automation
  • 8.7 Customer Experience Monitoring
  • 8.8 Other Applications

9 Global AIOps for Cloud Infrastructure Market, By End User

  • 9.1 Introduction
  • 9.2 IT & Telecom Service Providers
  • 9.3 FSM & IT Enterprises
  • 9.4 SMBs & Mid-market Enterprises
  • 9.5 Cloud Service Providers / MSPs
  • 9.6 Government & Public Sector
  • 9.7 Financial Services
  • 9.8 Healthcare & Life Sciences
  • 9.9 Retail & E-commerce
  • 9.10 Other End Users

10 Global AIOps for Cloud Infrastructure Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Splunk
  • 12.2 Dynatrace
  • 12.3 IBM (Instana)
  • 12.4 SolarWinds
  • 12.5 Moogsoft
  • 12.6 PagerDuty
  • 12.7 Datadog
  • 12.8 New Relic
  • 12.9 Elastic (ELK Stack)
  • 12.10 BMC Software
  • 12.11 ServiceNow
  • 12.12 Microsoft
  • 12.13 Google
  • 12.14 Amazon Web Services
  • 12.15 AppDynamics
  • 12.16 ScienceLogic
  • 12.17 CA Technologies
  • 12.18 VMware

List of Tables

  • Table 1 Global AIOps for Cloud Infrastructure Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AIOps for Cloud Infrastructure Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AIOps for Cloud Infrastructure Market Outlook, By Monitoring & Observability (2024-2032) ($MN)
  • Table 4 Global AIOps for Cloud Infrastructure Market Outlook, By Event Correlation & Root Cause Analysis (2024-2032) ($MN)
  • Table 5 Global AIOps for Cloud Infrastructure Market Outlook, By Anomaly Detection Engines (2024-2032) ($MN)
  • Table 6 Global AIOps for Cloud Infrastructure Market Outlook, By Automation & Orchestration Modules (2024-2032) ($MN)
  • Table 7 Global AIOps for Cloud Infrastructure Market Outlook, By Knowledge Base & Runbook Libraries (2024-2032) ($MN)
  • Table 8 Global AIOps for Cloud Infrastructure Market Outlook, By Security & Compliance Modules (2024-2032) ($MN)
  • Table 9 Global AIOps for Cloud Infrastructure Market Outlook, By Other Components (2024-2032) ($MN)
  • Table 10 Global AIOps for Cloud Infrastructure Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 11 Global AIOps for Cloud Infrastructure Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 12 Global AIOps for Cloud Infrastructure Market Outlook, By Private Cloud (2024-2032) ($MN)
  • Table 13 Global AIOps for Cloud Infrastructure Market Outlook, By Public Cloud (2024-2032) ($MN)
  • Table 14 Global AIOps for Cloud Infrastructure Market Outlook, By Hybrid Cloud (2024-2032) ($MN)
  • Table 15 Global AIOps for Cloud Infrastructure Market Outlook, By Edge Deployment (2024-2032) ($MN)
  • Table 16 Global AIOps for Cloud Infrastructure Market Outlook, By Solution Type (2024-2032) ($MN)
  • Table 17 Global AIOps for Cloud Infrastructure Market Outlook, By Platform / Suite (2024-2032) ($MN)
  • Table 18 Global AIOps for Cloud Infrastructure Market Outlook, By Standalone Solutions (2024-2032) ($MN)
  • Table 19 Global AIOps for Cloud Infrastructure Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 20 Global AIOps for Cloud Infrastructure Market Outlook, By Professional Services (2024-2032) ($MN)
  • Table 21 Global AIOps for Cloud Infrastructure Market Outlook, By Add-ons & Integrations (2024-2032) ($MN)
  • Table 22 Global AIOps for Cloud Infrastructure Market Outlook, By Other Solution Types (2024-2032) ($MN)
  • Table 23 Global AIOps for Cloud Infrastructure Market Outlook, By Application (2024-2032) ($MN)
  • Table 24 Global AIOps for Cloud Infrastructure Market Outlook, By IT Operations Automation (2024-2032) ($MN)
  • Table 25 Global AIOps for Cloud Infrastructure Market Outlook, By Performance Monitoring & Optimization (2024-2032) ($MN)
  • Table 26 Global AIOps for Cloud Infrastructure Market Outlook, By Security Incident Detection & Response (2024-2032) ($MN)
  • Table 27 Global AIOps for Cloud Infrastructure Market Outlook, By Cost Optimization & Cloud Governance (2024-2032) ($MN)
  • Table 28 Global AIOps for Cloud Infrastructure Market Outlook, By DevOps/CI-CD Pipeline Automation (2024-2032) ($MN)
  • Table 29 Global AIOps for Cloud Infrastructure Market Outlook, By Customer Experience Monitoring (2024-2032) ($MN)
  • Table 30 Global AIOps for Cloud Infrastructure Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 31 Global AIOps for Cloud Infrastructure Market Outlook, By End User (2024-2032) ($MN)
  • Table 32 Global AIOps for Cloud Infrastructure Market Outlook, By IT & Telecom Service Providers (2024-2032) ($MN)
  • Table 33 Global AIOps for Cloud Infrastructure Market Outlook, By FSM & IT Enterprises (2024-2032) ($MN)
  • Table 34 Global AIOps for Cloud Infrastructure Market Outlook, By SMBs & Mid-market Enterprises (2024-2032) ($MN)
  • Table 35 Global AIOps for Cloud Infrastructure Market Outlook, By Cloud Service Providers / MSPs (2024-2032) ($MN)
  • Table 36 Global AIOps for Cloud Infrastructure Market Outlook, By Government & Public Sector (2024-2032) ($MN)
  • Table 37 Global AIOps for Cloud Infrastructure Market Outlook, By Financial Services (2024-2032) ($MN)
  • Table 38 Global AIOps for Cloud Infrastructure Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 39 Global AIOps for Cloud Infrastructure Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 40 Global AIOps for Cloud Infrastructure Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.